from sklearn_benchmarks.report import Reporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = Reporting(config_file_path="config.yml")
reporting.run()
| hour | min | sec | |
|---|---|---|---|
| algo | |||
| KNeighborsClassifier | 0.0 | 13.0 | 18.523138 |
| daal4py_KNeighborsClassifier | 0.0 | 3.0 | 16.761759 |
| KNeighborsClassifier_kd_tree | 0.0 | 6.0 | 34.726515 |
| daal4py_KNeighborsClassifier_kd_tree | 0.0 | 1.0 | 41.375643 |
| KMeans | 0.0 | 8.0 | 43.144187 |
| daal4py_KMeans | 0.0 | 5.0 | 23.974972 |
| LogisticRegression | 0.0 | 1.0 | 1.279803 |
| daal4py_LogisticRegression | 0.0 | 0.0 | 53.927765 |
| Ridge | 0.0 | 0.0 | 0.882974 |
| daal4py_Ridge | 0.0 | 0.0 | 0.600871 |
| total | 0.0 | 40.0 | 55.265519 |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_daal4py | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier | fit | 0.130 | 0.003 | 1000000 | 1000000 | 100 | brute | -1 | 1 | NaN | NaN | 0.490 | 0.003 | 0.266 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_e70d8e7886766d41f30889506baa1e67_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 1 | KNeighborsClassifier | predict | 0.169 | 0.011 | 1000000 | 1 | 100 | brute | -1 | 1 | 1.0 | 1.0 | 0.085 | 0.001 | 1.974 | 0.004 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 2 | KNeighborsClassifier | predict | 25.946 | 0.527 | 1000000 | 1000 | 100 | brute | -1 | 1 | 1.0 | 1.0 | 1.915 | 0.017 | 13.551 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 3 | KNeighborsClassifier | fit | 0.131 | 0.001 | 1000000 | 1000000 | 100 | brute | -1 | 5 | NaN | NaN | 0.486 | 0.004 | 0.269 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_22d5eac4a4146149b35eae6914921514_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 4 | KNeighborsClassifier | predict | 0.189 | 0.012 | 1000000 | 1 | 100 | brute | -1 | 5 | 1.0 | 1.0 | 0.085 | 0.001 | 2.234 | 0.004 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 5 | KNeighborsClassifier | predict | 34.767 | 0.000 | 1000000 | 1000 | 100 | brute | -1 | 5 | 1.0 | 1.0 | 1.895 | 0.019 | 18.344 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 6 | KNeighborsClassifier | fit | 0.133 | 0.001 | 1000000 | 1000000 | 100 | brute | -1 | 100 | NaN | NaN | 0.487 | 0.002 | 0.273 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_2d5f2b2c02d77766434d9e5033b4a76c_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 7 | KNeighborsClassifier | predict | 0.200 | 0.021 | 1000000 | 1 | 100 | brute | -1 | 100 | 1.0 | 1.0 | 0.085 | 0.001 | 2.351 | 0.011 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 8 | KNeighborsClassifier | predict | 34.398 | 0.000 | 1000000 | 1000 | 100 | brute | -1 | 100 | 1.0 | 1.0 | 2.014 | 0.013 | 17.077 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 9 | KNeighborsClassifier | fit | 0.127 | 0.002 | 1000000 | 1000000 | 100 | brute | 1 | 1 | NaN | NaN | 0.498 | 0.004 | 0.255 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_b79d63bb7670c492de5c3befac58fe29_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 10 | KNeighborsClassifier | predict | 0.191 | 0.002 | 1000000 | 1 | 100 | brute | 1 | 1 | 1.0 | 1.0 | 0.086 | 0.000 | 2.230 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 11 | KNeighborsClassifier | predict | 13.117 | 0.114 | 1000000 | 1000 | 100 | brute | 1 | 1 | 1.0 | 1.0 | 1.949 | 0.034 | 6.730 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 12 | KNeighborsClassifier | fit | 0.129 | 0.002 | 1000000 | 1000000 | 100 | brute | 1 | 5 | NaN | NaN | 0.489 | 0.004 | 0.264 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_efac583623711d395ddae7a1e881ff68_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 13 | KNeighborsClassifier | predict | 0.208 | 0.001 | 1000000 | 1 | 100 | brute | 1 | 5 | 1.0 | 1.0 | 0.085 | 0.001 | 2.435 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 14 | KNeighborsClassifier | predict | 23.474 | 0.326 | 1000000 | 1000 | 100 | brute | 1 | 5 | 1.0 | 1.0 | 1.895 | 0.019 | 12.388 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 15 | KNeighborsClassifier | fit | 0.130 | 0.001 | 1000000 | 1000000 | 100 | brute | 1 | 100 | NaN | NaN | 0.488 | 0.004 | 0.266 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_16f94fc93942ff7ece860c9b0f64645f_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 16 | KNeighborsClassifier | predict | 0.209 | 0.001 | 1000000 | 1 | 100 | brute | 1 | 100 | 1.0 | 1.0 | 0.085 | 0.001 | 2.459 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 17 | KNeighborsClassifier | predict | 23.208 | 0.088 | 1000000 | 1000 | 100 | brute | 1 | 100 | 1.0 | 1.0 | 1.961 | 0.017 | 11.836 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 18 | KNeighborsClassifier | fit | 0.058 | 0.001 | 1000000 | 1000000 | 2 | brute | -1 | 1 | NaN | NaN | 0.105 | 0.003 | 0.559 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_e70d8e7886766d41f30889506baa1e67_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 19 | KNeighborsClassifier | predict | 0.019 | 0.002 | 1000000 | 1 | 2 | brute | -1 | 1 | 1.0 | 1.0 | 0.006 | 0.000 | 3.217 | 0.013 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 20 | KNeighborsClassifier | predict | 21.484 | 0.124 | 1000000 | 1000 | 2 | brute | -1 | 1 | 1.0 | 1.0 | 0.290 | 0.004 | 73.970 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 21 | KNeighborsClassifier | fit | 0.058 | 0.001 | 1000000 | 1000000 | 2 | brute | -1 | 5 | NaN | NaN | 0.104 | 0.003 | 0.557 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_22d5eac4a4146149b35eae6914921514_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 22 | KNeighborsClassifier | predict | 0.024 | 0.002 | 1000000 | 1 | 2 | brute | -1 | 5 | 1.0 | 1.0 | 0.006 | 0.001 | 3.783 | 0.042 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 23 | KNeighborsClassifier | predict | 30.556 | 0.000 | 1000000 | 1000 | 2 | brute | -1 | 5 | 1.0 | 1.0 | 0.295 | 0.007 | 103.673 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 24 | KNeighborsClassifier | fit | 0.058 | 0.001 | 1000000 | 1000000 | 2 | brute | -1 | 100 | NaN | NaN | 0.101 | 0.003 | 0.579 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_2d5f2b2c02d77766434d9e5033b4a76c_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 25 | KNeighborsClassifier | predict | 0.023 | 0.002 | 1000000 | 1 | 2 | brute | -1 | 100 | 1.0 | 1.0 | 0.006 | 0.000 | 4.124 | 0.013 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 26 | KNeighborsClassifier | predict | 30.436 | 0.000 | 1000000 | 1000 | 2 | brute | -1 | 100 | 1.0 | 1.0 | 0.350 | 0.006 | 86.875 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 27 | KNeighborsClassifier | fit | 0.057 | 0.001 | 1000000 | 1000000 | 2 | brute | 1 | 1 | NaN | NaN | 0.102 | 0.004 | 0.558 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_b79d63bb7670c492de5c3befac58fe29_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 28 | KNeighborsClassifier | predict | 0.014 | 0.001 | 1000000 | 1 | 2 | brute | 1 | 1 | 1.0 | 1.0 | 0.006 | 0.001 | 2.388 | 0.015 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 29 | KNeighborsClassifier | predict | 10.345 | 0.027 | 1000000 | 1000 | 2 | brute | 1 | 1 | 1.0 | 1.0 | 0.291 | 0.004 | 35.575 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 30 | KNeighborsClassifier | fit | 0.057 | 0.001 | 1000000 | 1000000 | 2 | brute | 1 | 5 | NaN | NaN | 0.098 | 0.002 | 0.581 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_efac583623711d395ddae7a1e881ff68_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 31 | KNeighborsClassifier | predict | 0.018 | 0.001 | 1000000 | 1 | 2 | brute | 1 | 5 | 1.0 | 1.0 | 0.006 | 0.001 | 3.219 | 0.052 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 32 | KNeighborsClassifier | predict | 19.755 | 0.128 | 1000000 | 1000 | 2 | brute | 1 | 5 | 1.0 | 1.0 | 0.291 | 0.005 | 67.822 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 33 | KNeighborsClassifier | fit | 0.059 | 0.001 | 1000000 | 1000000 | 2 | brute | 1 | 100 | NaN | NaN | 0.102 | 0.004 | 0.578 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_16f94fc93942ff7ece860c9b0f64645f_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 34 | KNeighborsClassifier | predict | 0.018 | 0.001 | 1000000 | 1 | 2 | brute | 1 | 100 | 1.0 | 1.0 | 0.006 | 0.001 | 2.955 | 0.044 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 35 | KNeighborsClassifier | predict | 19.606 | 0.039 | 1000000 | 1000 | 2 | brute | 1 | 100 | 1.0 | 1.0 | 0.349 | 0.005 | 56.121 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| algorithm | brute |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_daal4py | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 2.948 | 0.038 | 1000000 | 1000000 | 10 | kd_tree | -1 | 1 | NaN | NaN | 0.696 | 0.005 | 4.236 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_fe8267e25dadb302ed498e50fabf7ef4_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 1 | KNeighborsClassifier_kd_tree | predict | 0.003 | 0.001 | 1000000 | 1 | 10 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 16.658 | 0.377 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 2 | KNeighborsClassifier_kd_tree | predict | 0.478 | 0.007 | 1000000 | 1000 | 10 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.104 | 0.002 | 4.596 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 3 | KNeighborsClassifier_kd_tree | fit | 2.941 | 0.043 | 1000000 | 1000000 | 10 | kd_tree | -1 | 5 | NaN | NaN | 0.745 | 0.022 | 3.950 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_dc74b969bf622bc24ba3bc62c980983b_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 4 | KNeighborsClassifier_kd_tree | predict | 0.003 | 0.001 | 1000000 | 1 | 10 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 11.414 | 0.206 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 5 | KNeighborsClassifier_kd_tree | predict | 0.866 | 0.009 | 1000000 | 1000 | 10 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.190 | 0.003 | 4.554 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 6 | KNeighborsClassifier_kd_tree | fit | 2.942 | 0.030 | 1000000 | 1000000 | 10 | kd_tree | -1 | 100 | NaN | NaN | 0.697 | 0.009 | 4.218 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_022f7445d43bb1dbc24dc3106c03cb93_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 7 | KNeighborsClassifier_kd_tree | predict | 0.005 | 0.001 | 1000000 | 1 | 10 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.001 | 0.000 | 7.002 | 0.273 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 8 | KNeighborsClassifier_kd_tree | predict | 2.834 | 0.026 | 1000000 | 1000 | 10 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.555 | 0.004 | 5.105 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 9 | KNeighborsClassifier_kd_tree | fit | 2.952 | 0.043 | 1000000 | 1000000 | 10 | kd_tree | 1 | 1 | NaN | NaN | 0.745 | 0.033 | 3.963 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a9455565db1d8e052a783317c99744ff_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 10 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 10 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 6.152 | 0.364 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 11 | KNeighborsClassifier_kd_tree | predict | 0.747 | 0.010 | 1000000 | 1000 | 10 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.103 | 0.001 | 7.240 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 12 | KNeighborsClassifier_kd_tree | fit | 2.900 | 0.029 | 1000000 | 1000000 | 10 | kd_tree | 1 | 5 | NaN | NaN | 0.715 | 0.015 | 4.055 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_84622ba45e941db642965553529e1941_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 13 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.001 | 1000000 | 1 | 10 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 5.795 | 0.258 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 14 | KNeighborsClassifier_kd_tree | predict | 1.440 | 0.014 | 1000000 | 1000 | 10 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.189 | 0.003 | 7.610 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 15 | KNeighborsClassifier_kd_tree | fit | 2.938 | 0.047 | 1000000 | 1000000 | 10 | kd_tree | 1 | 100 | NaN | NaN | 0.744 | 0.015 | 3.947 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_41accfcdcd5c50784bedf6164b63de99_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 16 | KNeighborsClassifier_kd_tree | predict | 0.003 | 0.001 | 1000000 | 1 | 10 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.001 | 0.000 | 4.563 | 0.269 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 17 | KNeighborsClassifier_kd_tree | predict | 4.668 | 0.025 | 1000000 | 1000 | 10 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.561 | 0.004 | 8.319 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 18 | KNeighborsClassifier_kd_tree | fit | 1.301 | 0.013 | 1000000 | 1000000 | 2 | kd_tree | -1 | 1 | NaN | NaN | 0.498 | 0.017 | 2.610 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_fe8267e25dadb302ed498e50fabf7ef4_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 19 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.001 | 1000000 | 1 | 2 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 13.947 | 0.467 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 20 | KNeighborsClassifier_kd_tree | predict | 0.029 | 0.001 | 1000000 | 1000 | 2 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.001 | 0.000 | 33.327 | 0.234 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 21 | KNeighborsClassifier_kd_tree | fit | 1.279 | 0.020 | 1000000 | 1000000 | 2 | kd_tree | -1 | 5 | NaN | NaN | 0.493 | 0.017 | 2.596 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_dc74b969bf622bc24ba3bc62c980983b_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 22 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.001 | 1000000 | 1 | 2 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 15.683 | 0.550 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 23 | KNeighborsClassifier_kd_tree | predict | 0.030 | 0.001 | 1000000 | 1000 | 2 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.001 | 0.001 | 21.198 | 0.153 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 24 | KNeighborsClassifier_kd_tree | fit | 1.258 | 0.025 | 1000000 | 1000000 | 2 | kd_tree | -1 | 100 | NaN | NaN | 0.494 | 0.017 | 2.545 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_022f7445d43bb1dbc24dc3106c03cb93_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 25 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.000 | 1000000 | 1 | 2 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.000 | 0.000 | 16.373 | 0.634 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 26 | KNeighborsClassifier_kd_tree | predict | 0.048 | 0.001 | 1000000 | 1000 | 2 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.007 | 0.001 | 7.289 | 0.026 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 27 | KNeighborsClassifier_kd_tree | fit | 1.238 | 0.009 | 1000000 | 1000000 | 2 | kd_tree | 1 | 1 | NaN | NaN | 0.494 | 0.021 | 2.506 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a9455565db1d8e052a783317c99744ff_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 28 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 2 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 6.132 | 0.571 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 29 | KNeighborsClassifier_kd_tree | predict | 0.024 | 0.001 | 1000000 | 1000 | 2 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.001 | 0.000 | 26.134 | 0.210 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 30 | KNeighborsClassifier_kd_tree | fit | 1.285 | 0.029 | 1000000 | 1000000 | 2 | kd_tree | 1 | 5 | NaN | NaN | 0.491 | 0.014 | 2.615 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_84622ba45e941db642965553529e1941_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 31 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 2 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 5.416 | 0.626 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 32 | KNeighborsClassifier_kd_tree | predict | 0.028 | 0.001 | 1000000 | 1000 | 2 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.001 | 0.001 | 20.570 | 0.221 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 33 | KNeighborsClassifier_kd_tree | fit | 1.260 | 0.017 | 1000000 | 1000000 | 2 | kd_tree | 1 | 100 | NaN | NaN | 0.497 | 0.020 | 2.536 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_41accfcdcd5c50784bedf6164b63de99_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 34 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 2 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.000 | 0.000 | 4.855 | 0.612 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 35 | KNeighborsClassifier_kd_tree | predict | 0.053 | 0.002 | 1000000 | 1000 | 2 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.007 | 0.002 | 7.539 | 0.057 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| algorithm | kd_tree |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | algorithm | init | max_iter | n_clusters | n_init | tol | n_iter_sklearn | adjusted_rand_score_sklearn | n_iter_daal4py | adjusted_rand_score_daal4py | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans | fit | 0.018 | 0.021 | 10000 | 10000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | 24.0 | NaN | 30.0 | NaN | 0.007 | 0.004 | 2.471 | 1.683 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 1 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.847 | 0.545 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 2 | KMeans | predict | 0.000 | 0.000 | 10000 | 1000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.855 | 0.453 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 3 | KMeans | fit | 0.320 | 0.016 | 10000 | 10000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.103 | 0.004 | 3.124 | 0.004 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 4 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.041 | 0.465 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 5 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.079 | 0.056 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 6 | KMeans | fit | 0.008 | 0.001 | 10000 | 10000 | 2 | full | random | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.005 | 0.001 | 1.752 | 0.080 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 7 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.040 | 0.573 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 8 | KMeans | predict | 0.000 | 0.000 | 10000 | 1000 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.323 | 0.484 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 9 | KMeans | fit | 0.122 | 0.002 | 10000 | 10000 | 2 | full | random | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.045 | 0.001 | 2.727 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 10 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.106 | 0.422 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 11 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.085 | 0.147 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 12 | KMeans | fit | 0.142 | 0.027 | 10000 | 10000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.017 | 0.001 | 8.169 | 0.040 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 13 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.229 | 0.439 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 14 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.113 | 0.221 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 15 | KMeans | fit | 0.803 | 0.031 | 10000 | 10000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | 16.0 | NaN | 17.0 | NaN | 0.357 | 0.023 | 2.254 | 0.006 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 16 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.175 | 0.424 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 17 | KMeans | predict | 0.006 | 0.003 | 10000 | 1000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 4.347 | 0.326 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 18 | KMeans | fit | 0.050 | 0.001 | 10000 | 10000 | 100 | full | random | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.017 | 0.001 | 2.895 | 0.007 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 19 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.778 | 0.464 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 20 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.943 | 0.254 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 21 | KMeans | fit | 0.248 | 0.033 | 10000 | 10000 | 100 | full | random | 30 | 300 | 1 | 0.0 | 21.0 | NaN | 30.0 | NaN | 0.172 | 0.020 | 1.446 | 0.031 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 22 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.119 | 0.287 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 23 | KMeans | predict | 0.007 | 0.002 | 10000 | 1000 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 5.194 | 0.084 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 24 | KMeans | fit | 0.617 | 0.011 | 1000000 | 1000000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.450 | 0.020 | 1.372 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 25 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.013 | 0.558 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 26 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.909 | 0.423 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 27 | KMeans | fit | 29.940 | 0.357 | 1000000 | 1000000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 9.239 | 0.093 | 3.240 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 28 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.200 | 0.534 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 29 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.360 | 0.067 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 30 | KMeans | fit | 0.534 | 0.008 | 1000000 | 1000000 | 2 | full | random | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.410 | 0.021 | 1.301 | 0.003 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 31 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.831 | 0.455 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 32 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1000 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.102 | 0.361 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 33 | KMeans | fit | 11.561 | 0.055 | 1000000 | 1000000 | 2 | full | random | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 3.264 | 0.032 | 3.542 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 34 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 3.387 | 0.698 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 35 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.091 | 0.153 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 36 | KMeans | fit | 6.374 | 0.088 | 1000000 | 1000000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 3.040 | 0.021 | 2.097 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 37 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.755 | 0.493 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 38 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.019 | 0.263 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 39 | KMeans | fit | 99.538 | 0.000 | 1000000 | 1000000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 47.942 | 0.000 | 2.076 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 40 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.865 | 0.506 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 41 | KMeans | predict | 0.010 | 0.001 | 1000000 | 1000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 7.973 | 0.041 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 42 | KMeans | fit | 5.779 | 0.048 | 1000000 | 1000000 | 100 | full | random | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 2.867 | 0.018 | 2.016 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 43 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.288 | 0.539 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 44 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.080 | 0.218 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 45 | KMeans | fit | 30.937 | 0.000 | 1000000 | 1000000 | 100 | full | random | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 20.098 | 0.137 | 1.539 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 46 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.224 | 0.550 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 47 | KMeans | predict | 0.003 | 0.001 | 1000000 | 1000 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 2.044 | 0.137 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| algorithm | full |
| max_iter | 30 |
| n_init | 1 |
| tol | 0.0 |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | C | class_weight | dual | fit_intercept | intercept_scaling | l1_ratio | max_iter | multi_class | n_jobs | penalty | random_state | solver | tol | verbose | warm_start | n_iter | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 11.125 | 0.024 | 1000000 | 1000000 | 100 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | [20] | 11.115 | 0.024 | 1.001 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f11be2529b0a77bc8fb5ee8de141e6b2_c5fdb575b370d3fe0ae44cf1690bcfb1.html'>See</a> |
| 1 | LogisticRegression | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.000 | 0.000 | 0.364 | 0.857 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_c5fdb575b370d3fe0ae44cf1690bcfb1.html'>See</a> |
| 2 | LogisticRegression | predict | 0.000 | 0.000 | 1000000 | 1000 | 100 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.000 | 0.000 | 0.945 | 0.180 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_c5fdb575b370d3fe0ae44cf1690bcfb1.html'>See</a> |
| 3 | LogisticRegression | fit | 0.734 | 0.017 | 1000 | 1000 | 10000 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | [26] | 0.743 | 0.024 | 0.987 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f11be2529b0a77bc8fb5ee8de141e6b2_a4ea4358bc870ac0ef6a8b403f49c4ca.html'>See</a> |
| 4 | LogisticRegression | predict | 0.000 | 0.000 | 1000 | 1 | 10000 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.001 | 0.000 | 0.131 | 0.662 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_a4ea4358bc870ac0ef6a8b403f49c4ca.html'>See</a> |
| 5 | LogisticRegression | predict | 0.002 | 0.000 | 1000 | 100 | 10000 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.003 | 0.000 | 0.557 | 0.044 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_a4ea4358bc870ac0ef6a8b403f49c4ca.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| penalty | l2 |
| dual | False |
| tol | 0.0001 |
| C | 1.0 |
| fit_intercept | True |
| intercept_scaling | 1 |
| class_weight | NaN |
| random_state | NaN |
| solver | lbfgs |
| max_iter | 100 |
| multi_class | auto |
| verbose | 0 |
| warm_start | False |
| n_jobs | NaN |
| l1_ratio | NaN |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | alpha | copy_X | fit_intercept | max_iter | normalize | random_state | solver | tol | n_iter | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 0.035 | 0.001 | 1000 | 1000 | 1000 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.020 | 0.005 | 1.710 | 0.053 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_3bb02a1188eee1cdf3bfd0c2d57fd304_df66213c5388dbfe0e8eecb90f7b3609.html'>See</a> |
| 1 | Ridge | predict | 0.000 | 0.000 | 1000 | 1 | 1000 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.642 | 1.188 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_df66213c5388dbfe0e8eecb90f7b3609.html'>See</a> |
| 2 | Ridge | predict | 0.000 | 0.000 | 1000 | 100 | 1000 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.604 | 0.380 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_df66213c5388dbfe0e8eecb90f7b3609.html'>See</a> |
| 3 | Ridge | fit | 0.007 | 0.001 | 10000 | 10000 | 100 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.003 | 0.000 | 2.662 | 0.030 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_3bb02a1188eee1cdf3bfd0c2d57fd304_03fc9030cf245327135773e50bf5cf0a.html'>See</a> |
| 4 | Ridge | predict | 0.000 | 0.000 | 10000 | 1 | 100 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.678 | 1.105 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_03fc9030cf245327135773e50bf5cf0a.html'>See</a> |
| 5 | Ridge | predict | 0.000 | 0.000 | 10000 | 1000 | 100 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.587 | 0.486 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_03fc9030cf245327135773e50bf5cf0a.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| alpha | 1.0 |
| fit_intercept | True |
| normalize | False |
| copy_X | True |
| max_iter | NaN |
| tol | 0.001 |
| solver | auto |
| random_state | NaN |